The release of Google's updated Gemini 3 AI model last month has driven user growth. It has also prompted OpenAI CEO Sam Alman to reportedly declare a quote code red to improve the quality of its chatbot chat GPT. Our next guest says that has also touched off a civil war within AI further carving a divide between those supporting the Google complex and the open AI complex.Joining me now Michael O Jones training chief market strategist. Mike, great to see you again. Thanks for sticking with us.So, you know, ...

Core Insights - Waymo is currently leading the autonomous vehicle market by offering fully driverless rides in major cities, while competitors like Tesla remain in testing phases with safety drivers required [3][4][6] - The podcast discusses the differences in technology approaches between Waymo and Tesla, highlighting Waymo's comprehensive sensor suite versus Tesla's vision-only system [3][9] - The potential for rapid scaling in the autonomous taxi market is emphasized, with projections indicating significant growth from $1 billion in 2022 to over $100 billion by 2031 [7][12] Company Strategies - Waymo's strategy involves methodical deployment and meticulous mapping of operational cities, which contributes to their effective operations and consumer acceptance [3][9] - Tesla's approach focuses on cost reduction and rapid deployment, but it has not yet proven to be as effective in safety and technology as Waymo's strategy [7][9] - Other companies in the autonomous driving space, such as Mobileye and Aurora Innovation, are also mentioned for their unique approaches and potential contributions to the industry [15][16] Market Dynamics - The podcast notes that less than 1% of the U.S. population has experienced a driverless taxi ride, indicating that the market is still in the early adopter phase, allowing competitors time to catch up [6] - The discussion includes the importance of cost-effectiveness for both Waymo and Tesla as they scale their operations, with current vehicle costs for Waymo estimated to be between $100,000 and $150,000 [7][12] - The evolving landscape of ride-sharing is highlighted, with companies like Uber and Lyft potentially adapting to include autonomous vehicles in their offerings, but not necessarily being replaced by them [25][26] Future Outlook - The podcast suggests that while Waymo currently holds a lead, the future of the autonomous vehicle market remains uncertain, with various companies still vying for position [4][6] - The potential for new business models in ride-sharing and the integration of autonomous vehicles is discussed, indicating a shift from individual vehicle ownership to fleet operations [25][26] - The regulatory environment in markets like China and Europe is noted as being more developed, which could influence the pace of adoption and innovation in the U.S. [20][21]

Core Viewpoint - The U.S. stock market rebounded on December 2, with significant gains in technology stocks and cryptocurrencies, indicating a shift in market sentiment after a period of decline [1][6]. Group 1: Cryptocurrency Market - Bitcoin surged over 5%, rising above $90,000, recovering some losses from the previous trading day, while Ethereum increased by over 7% [2]. - The overall market sentiment for cryptocurrencies improved, with traders showing renewed interest after weeks of selling pressure [6]. Group 2: Technology Stocks - Technology stocks related to artificial intelligence (AI) provided substantial support to the market, with companies like Oracle reversing previous declines and Nvidia rising nearly 2% [3]. - Credo Technology's stock soared by 12%, reaching a historical high after reporting better-than-expected earnings [5]. Group 3: Market Sentiment and Economic Indicators - Analysts noted a calmer market atmosphere, with a significant probability (over 87%) that the Federal Reserve will announce interest rate cuts in December, which has contributed to a more positive outlook [6]. - December is historically a strong month for the stock market, with the S&P 500 index averaging over a 1% increase since 1950, making it the third-best month for performance [6][7]. - Increased consumer spending and corporate investments in AI are expected to support productivity gains, potentially leading to improved earnings and stock price growth [7].

Core Viewpoint - Google's launch of its self-developed AI chip, Tensor Processing Unit (TPU), has positioned the company as a significant player in the AI industry, challenging NVIDIA's dominance in the GPU market and marking a shift towards a more diversified AI landscape [1][3]. Group 1: Technological Evolution - The commercialization of Google's TPU signifies a healthy evolution in the AI industry, reducing reliance on a single supplier and fostering innovation through competitive technology routes [3]. - This shift is expected to accelerate technological progress and lower costs, benefiting all participants in the AI industry [3]. Group 2: Industry Maturity - The competition between GPU and TPU represents a maturation of AI hardware, bringing structural benefits to the upstream supply chain, including hardware components like optical modules and PCBs [4]. - The maturity of AI hardware is crucial for the depth and breadth of industry evolution, transforming the concept of "AI in all hardware" into reality [4]. Group 3: Business Logic - Google's TPU initiative reflects a decade-long effort to create a closed-loop system integrating computing power, core models, and a commercial ecosystem, indicating a shift from model performance to application implementation in AI competition [5]. - The current phase of the AI industry emphasizes value creation in real-world applications, despite challenges such as high costs and data scarcity, highlighting the necessity for technological updates [5].

The robotaxi fight just stopped being polite. The debate is no longer about whether autonomy works — the question now is who owns the economics of the future ride-hailing market. And as Tesla Inc (NASDAQ:TSLA) , Alphabet Inc‘s (NASDAQ:GOOG) (NASDAQ:GOOG) Waymo, and Uber Technologies Inc (NYSE:UBER) collide, the battlefield is shifting from engineering milestones to business models that can scale profitably.Track TSLA stock here.Tesla: Narrative As A WeaponTesla is back, shaking the table. The company says i ...

Google logo in front of Google Plaza near Zhongguancun Science Park in Beijing, China on November 27, 2025. (Photo credit should read Fan Jiashan/Future Publishing via Getty Images)CFoto/Future Publishing via Getty ImagesOver the past ten years, Alphabet (GOOGL) stock has delivered an enormous $357 Bil back to its investors through actual cash in the form of dividends and share buybacks. Let’s examine some figures and see how this capacity for payouts compares with the largest capital-returning companies in ...

Core Viewpoint - Samsung Electronics has launched its first multi-folding smartphone, the Galaxy Z TriFold, to strengthen its position in the competitive foldable smartphone market, which is expected to see intensified competition from Chinese rivals [1][9]. Product Details - The Galaxy Z TriFold is priced at approximately 3.59 million won ($2,440.17) and features a 253.1 millimeter (10-inch) display, which is nearly 25% larger than the Galaxy Z Fold 7 model [2][5]. - The device will be available for sale in South Korea starting December 12, with plans for rollout in China, Singapore, Taiwan, and the UAE within the year, and a potential US launch in the first quarter of next year [4][9]. Market Outlook - Samsung's Executive Vice President, Alex Lim, believes that the foldable market will continue to grow, with the TriFold potentially acting as a catalyst for growth in key segments [3]. - Analysts suggest that the TriFold may serve more as a showcase of new technology rather than a volume-driving flagship, given its status as a first-generation product [7][10]. - The foldable smartphone market is projected to account for less than 2% of the total smartphone market this year, with expectations to rise to under 3% by 2027 [10]. Competitive Landscape - Competition in the foldable smartphone market is increasing, with Huawei having launched the first three-way folding phone and Apple expected to release its first foldable next year [9]. - Samsung's shipment share of the foldable market surged to 64% in the third quarter, up from 9% in the previous quarter, indicating the volatility of market share based on product launch timing [11].

Core Insights - Amazon has launched "UltraServers" powered by its proprietary Trainium 3 chips, aiming to compete with Nvidia and Google [1] Company Summary - The introduction of UltraServers signifies Amazon's strategic move into the high-performance computing market, leveraging its in-house chip technology [1] - Trainium 3 chips are designed to enhance Amazon's cloud services, potentially increasing its market share against established competitors like Nvidia and Google [1] Industry Summary - The competition in the cloud computing and AI chip market is intensifying, with major players like Amazon, Nvidia, and Google vying for dominance [1] - The launch of Amazon's UltraServers may disrupt the current market dynamics, prompting other companies to innovate or adjust their strategies [1]

Core Insights - OpenAI is prioritizing improvements to its ChatGPT chatbot amid increasing competition from rivals like Google and Anthropic [2][3] - The company is pulling back investments in health, shopping, and advertising to focus resources on enhancing ChatGPT [2] - ChatGPT currently has over 800 million weekly users, indicating significant user engagement [3] Group 1: Company Strategy - OpenAI's CEO, Sam Altman, initiated a "code red" effort to enhance ChatGPT's capabilities [2] - The company aims to make ChatGPT more intuitive and personal while expanding global access [3] Group 2: Competitive Landscape - Google launched its AI model, Gemini 3, which has received positive feedback and boasts 650 million monthly active users [4] - Google's AI Overviews feature reaches 2 billion monthly users, highlighting the competitive pressure on OpenAI [4] - Altman acknowledged the success of Google's Gemini 3, indicating a recognition of the competitive landscape [4]

Core Insights - The traditional strategy for Big Tech has been to create disruptive innovations, achieve high growth rates, and maintain low spending, but this is now challenged by the increasing capital intensity required for AI development [1][2] Group 1: Capital Expenditures - Major tech companies like Alphabet, Amazon, Meta, and Microsoft are projected to spend over $380 billion on capital expenditures in their current fiscal years, marking a more than 1,300% increase from a decade ago [3] - Microsoft's capital expenditures now account for 25% of its revenue, which is over three times the ratio from ten years ago, placing it among the top 20% in the S&P 500 for spending-to-sales ratio [4] Group 2: Market Performance and Investor Sentiment - Despite uncertainties regarding future returns, investors remain optimistic about the AI initiatives of these tech giants, as evidenced by rising stock prices; for instance, Microsoft shares have increased by 16% in 2025 [5] - However, there are signs of skepticism; Meta's stock fell 11% following its third-quarter earnings report due to a lack of clarity on profitability from AI investments, leading to a year-to-date increase of only 9.6%, underperforming the S&P 500 [6]